The ABC of Computational Text Analysis

#12 Mini-Project Presentations +
Discussion

Alex Flückiger

Faculty of Humanities and Social Sciences
University of Lucerne

23 May 2024

Outline

  • presenting your projects 👩‍💻👨‍💻
  • discussing your feedback

Project presentations

  • 5 projects
    • 10 minutes per group
    • +1 min preparation
    • +1 min questions/feedback
  • send me your code and data
  • optional: publish project on the course website

Mini-projects

Name Research question
Ivo, Jenny, Ken Analysis of cannabis in Swiss media
Silvan, Aaron, Livia Representation of reports related doping in Swiss media - Trendanalysis
Tony, Jennie Analysis of Global Risks
Boglarka Analyse des Jahresberichtes der Universität Luzern (1999-2022)
Céline, Naemi Vergleich Bundesratsnachfolge Sommaruga vs. Berset

The stage is yours…

I hear you …

👍

  • interesting content

  • well-organized seminar

  • hands-on experience

  • knowledgeable + supportive

👎

  • information shared too late (e.g., mini-project, purpose of tools)
  • good exercises, yet to little time
  • explanations not always clear


Thank you!

Why the heck did we learn all this? 🤯

  • Text is the most abundant form of data. We want to analyze that.
  • AI Information technology is transforming our society. We need to understand that (to be critical).

Ensure up-to-date resources

  1. Navigate to the course folder using cd in your command line
  2. Update the files with git pull
  3. If git pull doesn’t work due to file conflicts, run git restore . first

Well done!
🤹‍♀️ 🤹‍♂️

🤞
It is getting easier from here on.
Relax first, though!
🏊

Good Bye…